OpenH-RF

Enabling advanced ultrasound imaging techniques and evaluation through free, openly available and high-quality ultrasound channel capture data.

OpenH-RF is a collaborative initiative led by Stanford University, the Technical University of Eindhoven and NVIDIA to build a large-scale, openly licensed dataset of pre-beamformed (channel capture) medical ultrasound measurements. The goal: train general-purpose foundation models capable of multi-task raw-to-insight inference across echocardiography, general, fetal and transcranial imaging, blood flow measurement and ultrasound inverse problems.

We aim to curate 20,000+ real and synthetic channel capture measurements spanning reconstruction, flow, quantitative imaging, motion estimation and interpretation tasks — released under CC BY 4.0.

1. Review the RFP — Read the Request for Proposals for technical scope, eligibility and evaluation criteria.
2. Submit a Proposal — Prepare a concise proposal (≤ 5 pages) describing your dataset, collection methodology and target tasks. Submit to this Google Form.
3. Contribute Data — Once approved, prepare and deliver your dataset in the OpenH-RF format (specification coming soon).
4. Co-author the Release — Approved contributions are included in the public dataset and foundation model release — contributors are named co-authors in related publications upon project completion.

• Technical questions — openh.data+rf@gmail.com
• Administrative questions — wsimson@nvidia.com
• Community — Join our Discord